Keyword

regression coefficient estimation

Description: Regression coefficient estimation is the statistical process of calculating model coefficients that quantify relationships between explanatory variables and an outcome.

Primary topic: Advanced Statistical Methods and Models (35%)

OpenAlex ID: keywords/regression-parameter-estimation

Bootstrap Methods: Another Look at the Jackknife

1979 · B. Efron · The Annals of Statistics · 17,534

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Estimates of the Regression Coefficient Based on Kendall's Tau

1968 · Pranab Kumar Sen · Journal of the American Statistical Association · 14,617

Alternative Transformations to Handle Extreme Values of the Dependent Variable

1988 · John B. Burbidge, Lonnie Magee, et al. · Journal of the American Statistical Association · 1,418

Asymptotic Inference about Predictive Ability

1996 · Kenneth D. West · Econometrica · 1,414

Bootstrap Methods: Another Look at the Jackknife

1992 · Bradley Efron · Springer series in statistics · 1,370

Multiple Imputation for Missing Data: Fully Conditional Specification Versus Multivariate Normal Imputation

2010 · K. J. Lee, J. B. Carlin · American Journal of Epidemiology · 792

Selection of the Order of an Autoregressive Model by Akaike's Information Criterion

1976 · RITEI SHIBATA · Biometrika · 789

Detecting Multicollinearity

1982 · Edward R. Mansfield, Billy P. Helms · The American Statistician · 760

Estimating Regression Coefficients by Minimizing the Dispersion of the Residuals

1972 · Louis A. Jaeckel · The Annals of Mathematical Statistics · 564

Limiting distributions for $L\sb 1$ regression estimators under general conditions

1998 · Keith Knight · The Annals of Statistics · 488

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Adaptive Robust Procedures: A Partial Review and Some Suggestions for Future Applications and Theory

1974 · Robert V. Hogg · Journal of the American Statistical Association · 470

A simulation study of ridge and other regression estimators

1976 · Lawless J. F., Wang P · Communication in Statistics- Theory and Methods · 444

Non-Parametric Bayesian Analysis of Survival Time Data

1978 · John D. Kalbfleisch · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 369

Nonparametric Estimate of Regression Coefficients

1971 · Jana Jureckova · The Annals of Mathematical Statistics · 337

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Misspecified maximum likelihood estimates and generalised linear mixed models

2001 · P. J. Heagerty, B. F. Kurland · Biometrika · 294

Robust Estimation in Heteroscedastic Linear Models

1982 · Raymond J. Carroll, David Ruppert · The Annals of Statistics · 268

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An Estimating Function Approach to Inference for Inhomogeneous Neyman–Scott Processes

2006 · Rasmus Plenge Waagepetersen · Biometrics · 254

Joint Modeling and Estimation for Recurrent Event Processes and Failure Time Data

2004 · Chiung-Yu Huang, Mei-Cheng Wang · Journal of the American Statistical Association · 228

Overdispersion in modelling accidents on road sections and in Empirical Bayes estimation

2001 · Ezra Hauer · Accident Analysis & Prevention · 221

REML Estimation for Survival Models with Frailty

1993 · C. A. McGilchrist · Biometrics · 214

The bootstrap and identification of prognostic factors via cox's proportional hazards regression model

1985 · Chen‐Hsin Chen, Stephen L. George · Statistics in Medicine · 202

Bayesian and Non-Bayesian Estimation Using Balanced Loss Functions

1994 · Arnold Zellner · Springer eBooks · 192

Predicting House Prices Using Multiple Listings Data

1998 · Robin A. Dubin · The Journal of Real Estate Finance and Economics · 189

Latent Root Regression Analysis

1974 · J. T. Webster, R. F. Gunst, et al. · Technometrics · 181

Information-theoretic lower bounds for distributed statistical estimation with communication constraints

2013 · Yuchen Zhang, John C. Duchi, et al. · arXiv (Cornell University) · 180

Works count: 1,845

Citation count: 57,560